Available courses

Introduction

The ALTEGRAD course aims at providing an overview of state-of-the-art ML and AI methods for text and graph data with a significant focus on applications.

Each session will comprise two hours of magistral lecture followed by two hours of programming session.

Grading for the course will be based on lab sessions and a final data challenge.

See this video presenting the 2021 version of the course:


TO ENROLL - IMPORTANT !

All students should fill the following form to enroll: link to form

2021-2022 Time Schedule - Syllabus

09/11/2021:  09:00 - 13:00 - 1. Graph Based Text Mining - DL1

16/11/2021:  09:00 - 13:00 - 2. Deep Learning for NLP 2

23/11/2021:  09:00 - 13:00 - 3. Deep Learning for NLP 3

14/12/2021:  14:00 - 18:00 - 4. Graph Similarity - Kernels - ML for graphs

13/01/2022:  14:00 - 18:00 - 5. Deep Learning for Graphs 1

17/01/2022:  14:00 - 18:00 - 6. Deep Learning for Graphs 2

20/01/2022:  14:00 - 18:00 - 7. Influence Maximization - graph based recommendations


Location of the course will be announce in time - also  Guest access to the material will be communicated in the first class